Note: The job is a remote job and is open to candidates in USA. Nebius is leading a new era in cloud infrastructure for the global AI economy. They are seeking a Staff Network Software Engineer to build software that enhances network operations as they expand rapidly. The role involves creating tools and services that improve network lifecycle management and collaborating with engineers to develop high-quality solutions.
Responsibilities
- Build and maintain services and tooling that automate the network lifecycle: day-0 provisioning, day-N changes, drift detection, and operational verification
- Make network changes safe and transparent: CI/CD workflows, diff/review tooling, staged rollouts/rollbacks, audit trails, and guardrails
- Develop observability systems that scale across many sites: telemetry pipelines, signal quality, and tooling that shortens incident investigations
- Close 'last mile' gaps between the network and the platform: integrate source-of-truth data, expose APIs, and build reliable automation around it
- Collaborate closely with network engineers and SREs to turn real operational pain into product-quality tooling
Skills
- 5+ years of professional software engineering experience (or equivalent practical background)
- Strong coding skills and ownership mindset: you can ship and operate reliable services
- Proficiency in Go or readiness to switch; Python is also welcome (other languages can be useful for OSS debugging/fixes)
- You don't have to be Network expert but we expect you to have interest in infrastructure and/or network
- Background in networking (ex-network engineer, CCNP/education, DC networking exposure) or strong interest and proven ability to learn fast
- Experience building automation/infra tooling: CI/CD, IaC, testing/staging environments, or 'network-as-code' style workflows
- Low-level networking / datapath experience: eBPF/XDP, DPDK, kernel networking, traffic processing systems
- Experience designing high-load services and observability platforms (metrics/logs/traces, alerting, regression detection)
- Contributions to open source or experience extending/debugging OSS components in production environments
Benefits
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and ownership
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
Company Overview